Madhubalan S

@sonatech.ac.in

Assistant Professor, Electrical and Electronics Engineering
Sona College of Technology, Salem

Madhubalan S


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https://researchid.co/madhubalans

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering
15

Scopus Publications

61

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Different conventional commercial glass optical fibers composites physical parameters performance signature in short range optical transceiver systems
    Vanitha Lingaraj, Nalini Neelamegam, Madhubalan Selvaraju, Geetha Prahalathan, Devarajan Badri Narayanan, Jayanthi Anvar, Govindaraj Ramkumar, Ahmed Nabih Zaki Rashed, A. H. M. Iftekharul Ferdous
    Journal of Optics India, 2026
  • The influence of nano-biochar on the mechanical and flame resistance of recycled PLA composites
    G. Anbuchezhiyan, A. Vivek Anand, S. Senthil Babu, S. Madhubalan, Vigneshwaran Shanmugam, Rhoda Afriyie Mensah
    Frontiers in Chemical Engineering, 2026
    The growing accumulation of plastic and agricultural waste highlights the urgent need for sustainable material alternatives. This study investigates the incorporation of nano-biochar derived from cashew nut shell biomass to enhance the mechanical and thermal performance of recycled polylactic acid (rPLA). Nano-biochar produced via controlled pyrolysis and high-energy ball milling was incorporated into rPLA at 0–2 wt% loadings through melt compounding and injection moulding. The resulting composites were evaluated for tensile, flexural, impact, and interlaminar shear strength (ILSS), alongside UL-94 flammability testing. A one-way ANOVA followed by Tukey’s HSD post-hoc analysis confirmed statistically significant improvements (p < 0.05) across all mechanical properties. The tensile strength of virgin PLA (32.23 MPa) decreased to 25.92 MPa in recycled PLA due to polymer chain scission; however, the addition of 1.5 wt% nano-biochar increased tensile strength to 49.54 MPa and ILSS from 21.37 MPa to 36.31 MPa. Flexural and impact strengths also rose by 34.19% and 45.85%, respectively, compared to unfilled rPLA. In UL-94 testing, the rPLA1.5 composite achieved a V-0 rating with no dripping, indicating excellent flame retardancy. Overall, nano-biochar reinforcement not only restored but substantially enhanced the mechanical integrity and fire resistance of rPLA, with ANOVA validating the statistical robustness of these improvements. This work demonstrates a viable circular-economy pathway for converting biomass waste into functional nano-reinforcements for sustainable polymer composites. These composites are particularly suitable for automotive interiors, building materials, and consumer goods where improved flame resistance and mechanical durability are required.
  • Edge Intelligence Enabled Predictive Maintenance Framework for Smart Manufacturing IoT Environments
    K. Radha, A. Vanathi, S. Agnes Shifani, S. Madhubalan, Chinta Sri Divya, R Kamalakannan
    IEEE International Conference on Electronic Systems and Intelligent Computing Icesic 2026 Proceedings, 2026
    The increasing complexity of smart manufacturing systems has amplified the need for real-time, accurate, and low-latency predictive maintenance mechanisms. Conventional cloud-based solutions are prone to large communication lags and lack of privacy, whereas conventional machine learning models are not flexible to data drift and rare events. Today, in the given paper, we introduce a new Edge-Twin Transformer with Gradient Drift Calibration (E2T2-GDC) architecture, which is aimed to offer intelligent fault detection and prognosis at the edge. The framework consists of quaternion-based Kalman fusion to create sensor harmonization, Wasserstein barycenter alignment to create domain adaptation, Synchrosqueezing Transform to analyze high-resolution signals, and a VIBGAN encoder to represent rare faults. Lightweight Hyperdimensional Computing (HDC) and Mutual Information-Aware Federation Learning guarantee the compatibility of the edges and guarantee the security of the fusion of features. Evaluations on ten types of faults have shown that the proposed model can be evaluated at 98.7 accuracy and 98.4% F1-score and can also be utilized in concept drift with time with less than 3.5 % degradation over 120 hours. E2T2-GDC has better generalization, reduced latency and friendliness at the edges compared to baselines, such as CNN, LSTM, and Transformer. This framework reinvents the paradigm of predictive maintenance by integrating explainable intelligence, robust, and edge deployability of next-generation Industrial IoT (IIoT) settings.
  • Neuro-Adaptive Lightweight eXplainable Artificial Intelligence for Energy-Constrained and Context-Aware Edge Healthcare Monitoring
    N. Deepa, Rehaam Abdohwr, Shwetha. S V, S. Madhubalan, C. Rajeswari
    3rd IEEE International Conference on Networks Multimedia and Information Technology Nmitcon 2025, 2025
    In recent years, the increasing adoption of wearable Internet of Things (IoT) devices in healthcare has accelerated the need for intelligent edge-fog systems by providing explainable decision support under changing energy constraints. However, the current Optimized Tiny Machine Learning (O-TML)-based energy-aware clustering is predominantly static and lacks adaptability to changing patient conditions and unseen health patterns. To overcome these limitations, this study proposes a Neuro-Adaptive Lightweight eXplainable Artificial Intelligence (NeoLight-XAI) framework that efficiently handles patient-specific and environmental context shifts. NeoLight-XAI integrates a hierarchical autoencoder-based feature encoder that enables dynamic weight consolidation to continuously learn and adapt to nonstationary data streams of uncertain health conditions. Then, a ContextAware Routing Mechanism (CARM) enables personalized decision-making by dynamically selecting task-specific pathways based on the patient's physiological and environmental states. Moreover, a sparsity-regularized SHapley Additive exPlanations (SHAP) module provides interpretable real-time feature attributions, whereas a drift-aware monitoring unit ensures model reliability over time. The experimental evaluation of multimodal health sensor data demonstrated that NeoLight-XAI achieved high classification accuracy (94.7%), precision (89.7%), recall (96.3%), and F1score (92.4%) under concept drift compared with the existing O-TML model.
  • IoT-Driven Transformation in Smart Healthcare Infrastructure: Enhancing Patient Care Through Connected Devices, Sensors, and Networks
    B. Jothi, S. Madhubalan, J. Jeyasudha, Ponmurugan Panneer Selvam, P. Gomathi, S. Prabu
    Sustainable Civil Infrastructures, 2025
  • High bandwidth profile based on fiber bragg grating dispersion compensation systems for high bit rate optical communications with long distance links
    Perumal Kalpana Devi, Thankaraj Helan Vidhya, Madhubalan Selvaraju, Bhuvaneswari Balasubramanian, Suvitha Sundar, Jayanthi Anvar, Govindaraj Ramkumar, Shaik Hasane Ahammad, Ahmed Nabih Zaki Rashed, A. H. M. Iftekharul Ferdous, Md. Amzad Hossain
    Journal of Optics India, 2024
  • Spatial light sources with various optical wavelength window for high speed broadband optical fiber channel system
    Parimi Hema Sree, Polavarapu Sushma Chowdary, Chandran Ramesh Kumar, Madhubalan Selvaraju, Ramachandran Thandaiah Prabu, Rashida Maher Mahmoud, Shaik Hasane Ahammad
    Journal of Optical Communications, 2024
    This work demonstrated the spatial light sources with various optical wavelength window for high speed broadband optical fiber channel system. 3D signal index polarization configuration is clarified in x direction generated from spatial light transmitter at both wavelength window of 1300 and 1550 nm. Average radial intensity and encircled light flux distribution are simulated together against radius generated from spatial light transmitter at both wavelength window of 1300 and 1550 nm. The degree of polarization and S parameters values are clarified generated from spatial light transmitter for the specified bandwidth 100 GHz at various wavelength window of 1300 and 1500 nm. The signal/noise power amplitude with spectral wavelength through the fiber channel at 1300 and 1500 nm wavelength window. Signal/noise power variations are indicated with time through the fiber channel at both 1550 nm, 1300 wavelength windows. The lighted signal power value is measured through the fiber channel at 1300 and 1550 nm wavelength window. Signal/noise power variations are demonstrated with time and spectral wavelength through PIN photo receiver at 1550 and 1300 nm wavelength window. The electronic signal power value is numerically measured through PIN photo receiver through 1300 and 1550 nm wavelength window. Through various optical wavelength windows of both 1300 and 1550 nm, the electronic signal power quality spectrum is numerically measured through PIN photo receiver.
  • Renewable Energy Generation Prediction using Structure Embedded based Gated Recurrent Unit
    E. C. Vidya, Sagar Mudunuri, S. Madhubalan, Anita Sofia, th Ramy, Riad Hussein
    2024 1st International Conference on Software Systems and Information Technology Ssitcon 2024, 2024
    The renewable energy provides several environmental and economic benefits that compared to other energy resources such as nuclear and fuel-based energy. The data acquired and utilized for predicting renewable energy generation that includes strong-volatility, significant randomness, and intermittent behavior. However, the variation in data obtained from various energy generation resources lead to significant challenge and results in inaccurate prediction results. To overcome this problem, a Structure Embedded based Gated Recurrent Unit (SE-GRU) method is proposed for predicting the renewable energy generation and consumption accurately. The proposed SE-GRU model solves the issue of variation in data due to factor like climate conditions by capturing long term dependencies and immediate fluctuations that enhanced the prediction results. Initially, the data obtained from renewable resources are preprocessed by using techniques like normalization and filling missing values. These preprocessed data are forwarded to proposed prediction model SE-GRU to predict the energy generation and consumption accurately. The experimental results of proposed SE-GRU method achieved Mean Squared Error (MSE) of 0.19 which is less than existing prediction approaches such as Echo State-Network-Convolutional Neural Network (ESNCNN).
  • PSO based optimized PI controller design for hybrid active power filter
    Mayakrishnan Sujith, Govindaraj Vijayakumar, Dipesh B. Pardeshi, Selvaraju Madhubalan, Kumar Gokul Kannan
    International Journal of Power Electronics and Drive Systems, 2023
    This research study presents the design and simulation of a hybrid active power filter (HAPF) for reducing harmonics. The reference currents have been determined using the synchronous reference frame technique. To achieve its goals, the proposed HAPF employs AI algorithm known as particle swarm optimization (PSO) to fine-tune the proportional-integral PI controller's parameters. With the help of PI-PSO controller the DC link voltage is regulated in the HAPF-inverter. A non-linear current control strategy based on hysteresis employed here to construct the pulse gate by comparing the retrieved reference and real currents necessitated by the HAPF. Simulations were carried out in MATLAB and shown that the proposed method is extremely adaptable and efficient in reducing harmonic currents caused by non-linear loads.
  • ANN-SOGI-based Shunt Active Power Filter for Harmonic Mitigation
    Sujith M, Vijayakumar G, Pardeshi D. B, Madhubalan S, Arulanantham D
    International Journal of Electrical and Electronics Research, 2023
    In this paper introduces a PV based generation system interlinked with shunt active power filter (SAPF) to provide the effective reactive power compensation and mitigation of harmonics. The SAPF is comprised of a photovoltaic generation system, DC link capacitor and voltage source inverter (VSI). The current harmonics caused by nonlinear loads can be greatly reduced with the help of active power filter. To generate the reference current and the regulation of SAPF, the artificial neural network is proposed. The Second Order Generalized Integrator (SOGI) with Artificial Neural Network (ANN) controller is engaged to calculate the reference source current for SAPF. ANN additionally boasts great compatibility for digital implementation, control performance, and lightning-fast dynamic reaction. To demonstrate the effectiveness and superior concert of the proposed methodology, the designed controller is validated with the help of MATLAB simulations.
  • Distribution Network Reconfiguration Using Hybrid Optimization Technique
    S. Arun Kumar, S. Padma, S. Madhubalan
    Intelligent Automation and Soft Computing, 2022
  • Implification of ANN-FLC based Pi controller for dual interfacing converters
    Journal of Green Engineering, 2020
  • Stability enhancement of power system with UPFC using hybrid TLBO algorithm
    Journal of Scientific and Industrial Research, 2020
  • Neural network controller for Static Synchronous Series Compensator (SSSC) in transient stability analysis
    S. Padma, M. Rajaram, R. Lakshmipathi, S. Madhubalan
    India International Conference on Power Electronics Iicpe 2010, 2011
  • Intelligent controller in transient stability analysis of static synchronous series compensator
    European Journal of Scientific Research, 2011

RECENT SCHOLAR PUBLICATIONS

  • Different conventional commercial glass optical fibers composites physical parameters performance signature in short range optical transceiver systems
    V Lingaraj, N Neelamegam, M Selvaraju, G Prahalathan, DB Narayanan, ...
    Journal of Optics 55 (2), 1612-1622 , 2026
    2026
    Citations: 4
  • Edge Intelligence Enabled Predictive Maintenance Framework for Smart Manufacturing IoT Environments
    K Radha, A Vanathi, SA Shifani, S Madhubalan, CS Divya, ...
    2026 International Conference on Electronic Systems and Intelligent … , 2026
    2026
  • The influence of nano-biochar on the mechanical and flame resistance of recycled PLA composites
    G Anbuchezhiyan, A Vivek Anand, S Senthil Babu, S Madhubalan, ...
    Frontiers in Chemical Engineering 8, 1727026 , 2026
    2026
  • The influence of nano-biochar on the mechanical and flame resistance of recycled PLA composites
    G Anbuchezhiyan, A Vivek Anand, S Senthil Babu, S Madhubalan, ...
    Frontiers in Chemical Engineering 8 , 2026
    2026
  • Neuro-Adaptive Lightweight eXplainable Artificial Intelligence for Energy-Constrained and Context-Aware Edge Healthcare Monitoring
    N Deepa, R Abdohwr, S SV, S Madhubalan, C Rajeswari
    2025 Third International Conference on Networks, Multimedia and Information … , 2025
    2025
  • IoT-Driven Transformation in Smart Healthcare Infrastructure: Enhancing Patient Care Through Connected Devices, Sensors, and Networks
    B Jothi, S Madhubalan, J Jeyasudha, PP Selvam, P Gomathi, S Prabu
    International Conference on Innovative Discoveries and Emerging Advancements … , 2025
    2025
  • Renewable Energy Generation Prediction using Structure Embedded based Gated Recurrent Unit
    ECVS Mudunuri, K Barathi, S Madhubalan, DRAS Liz, RR Hussein
    2024 First International Conference on Software, Systems and Information … , 2024
    2024
  • High bandwidth profile based on fiber bragg grating dispersion compensation systems for high bit rate optical communications with long distance links
    PK Devi, TH Vidhya, M Selvaraju, B Balasubramanian, S Sundar, J Anvar, ...
    Journal of Optics 53 (5), 4583-4593 , 2024
    2024
    Citations: 5
  • Thermal Power Plant Pollution Monitoring and Control using Internet of Things
    M Manoharan, S Padma, S Madhubalan, S Arunkumar, D Kesavan
    IOP Conference Series: Materials Science and Engineering 1295 (1), 012011 , 2023
    2023
    Citations: 2
  • Spatial light sources with various optical wavelength window for high speed broadband optical fiber channel system
    PH Sree, PS Chowdary, CR Kumar, M Selvaraju, RT Prabu, ...
    Journal of Optical Communications 45 (s1), s2273-s2283 , 2023
    2023
  • PSO based optimized PI controller design for hybrid active power filter
    M Sujith, G Vijayakumar, DB Pardeshi, S Madhubalan, KG Kannan
    International Journal of Power Electronics and Drive Systems 14 (2), 863-871 , 2023
    2023
    Citations: 10
  • ANN-SOGI-based shunt active power filter for harmonic mitigation
    M Sujith, G Vijayakumar, DB Pardeshi, S Madhubalan, D Arulanantham
    IJ of Electrical & Electronics Research 11 (1), 97-102 , 2023
    2023
    Citations: 4
  • Distribution Network Reconfiguration Using Hybrid Optimization Technique
    S Arun Kumar, S Padma, S Madhubalan
    Intelligent Automation & Soft Computing (ISSN 1079-8587) 33 (2), 777 - 789 , 2022
    2022
    Citations: 23
  • Optimal Energy Management of Disco in Electricity Markets
    S Arun Kumar, S Padma, S Madhubalan
    Solid State Technology (0038-111X) 63 (6), 11648-11659 , 2020
    2020
  • Solar Powered BLDC Motor Drive Using CUK Converter
    M Gopila, S Madhubalan, M Balu
    TEST Engineering & Management (ISSN 0193-4120) 83, 10329 to 10333 , 2020
    2020
  • Power Harvesting System Using THSEAF with P+R Controller to Improve Grid Current Quality
    A Kumar. S, S Madhubalan, S Praveena
    TEST Engineering & Management (ISSN 0193-4120) 83, 10637 - 10641 , 2020
    2020
  • Stability Enhancement of Power System with UPFC Using Hybrid TLBO Algorithm
    S Madhubalan, S Padma, H Abdul Shabeer
    Journal of Scientific & Industrial Research (ISSN 0022-4456) 79 (2), 112-115 , 2020
    2020
    Citations: 7
  • Implification of ANN-FLC Based PI Controller for Dual Interfacing Converters
    M Sujith, S Madhubalan, K Prathibanandhi
    Journal of Green Engineering (ISSN 1904-4720) 10 (10), 9587-9600 , 2020
    2020
  • Neural network controller for static synchronous series compensator (SSSC) in transient stability analysis
    S Padma, M Rajaram, R Lakshmipathi, S Madhubalan
    India International Conference on Power Electronics 2010, 1-6 , 2011
    2011
    Citations: 3
  • Intelligent Controller in Transient Stability Analysis of Static Synchronous Series Compensator
    S Padma, M Rajaram, R Lakshmipathi, S Madhubalan
    European Journal of Scientific Research (ISSN 1450-216X) 49 (1), 110-119 , 2011
    2011
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Distribution Network Reconfiguration Using Hybrid Optimization Technique
    S Arun Kumar, S Padma, S Madhubalan
    Intelligent Automation & Soft Computing (ISSN 1079-8587) 33 (2), 777 - 789 , 2022
    2022
    Citations: 23
  • PSO based optimized PI controller design for hybrid active power filter
    M Sujith, G Vijayakumar, DB Pardeshi, S Madhubalan, KG Kannan
    International Journal of Power Electronics and Drive Systems 14 (2), 863-871 , 2023
    2023
    Citations: 10
  • Stability Enhancement of Power System with UPFC Using Hybrid TLBO Algorithm
    S Madhubalan, S Padma, H Abdul Shabeer
    Journal of Scientific & Industrial Research (ISSN 0022-4456) 79 (2), 112-115 , 2020
    2020
    Citations: 7
  • High bandwidth profile based on fiber bragg grating dispersion compensation systems for high bit rate optical communications with long distance links
    PK Devi, TH Vidhya, M Selvaraju, B Balasubramanian, S Sundar, J Anvar, ...
    Journal of Optics 53 (5), 4583-4593 , 2024
    2024
    Citations: 5
  • Different conventional commercial glass optical fibers composites physical parameters performance signature in short range optical transceiver systems
    V Lingaraj, N Neelamegam, M Selvaraju, G Prahalathan, DB Narayanan, ...
    Journal of Optics 55 (2), 1612-1622 , 2026
    2026
    Citations: 4
  • ANN-SOGI-based shunt active power filter for harmonic mitigation
    M Sujith, G Vijayakumar, DB Pardeshi, S Madhubalan, D Arulanantham
    IJ of Electrical & Electronics Research 11 (1), 97-102 , 2023
    2023
    Citations: 4
  • Neural network controller for static synchronous series compensator (SSSC) in transient stability analysis
    S Padma, M Rajaram, R Lakshmipathi, S Madhubalan
    India International Conference on Power Electronics 2010, 1-6 , 2011
    2011
    Citations: 3
  • Intelligent Controller in Transient Stability Analysis of Static Synchronous Series Compensator
    S Padma, M Rajaram, R Lakshmipathi, S Madhubalan
    European Journal of Scientific Research (ISSN 1450-216X) 49 (1), 110-119 , 2011
    2011
    Citations: 3
  • Thermal Power Plant Pollution Monitoring and Control using Internet of Things
    M Manoharan, S Padma, S Madhubalan, S Arunkumar, D Kesavan
    IOP Conference Series: Materials Science and Engineering 1295 (1), 012011 , 2023
    2023
    Citations: 2
  • Edge Intelligence Enabled Predictive Maintenance Framework for Smart Manufacturing IoT Environments
    K Radha, A Vanathi, SA Shifani, S Madhubalan, CS Divya, ...
    2026 International Conference on Electronic Systems and Intelligent … , 2026
    2026
  • The influence of nano-biochar on the mechanical and flame resistance of recycled PLA composites
    G Anbuchezhiyan, A Vivek Anand, S Senthil Babu, S Madhubalan, ...
    Frontiers in Chemical Engineering 8, 1727026 , 2026
    2026
  • The influence of nano-biochar on the mechanical and flame resistance of recycled PLA composites
    G Anbuchezhiyan, A Vivek Anand, S Senthil Babu, S Madhubalan, ...
    Frontiers in Chemical Engineering 8 , 2026
    2026
  • Neuro-Adaptive Lightweight eXplainable Artificial Intelligence for Energy-Constrained and Context-Aware Edge Healthcare Monitoring
    N Deepa, R Abdohwr, S SV, S Madhubalan, C Rajeswari
    2025 Third International Conference on Networks, Multimedia and Information … , 2025
    2025
  • IoT-Driven Transformation in Smart Healthcare Infrastructure: Enhancing Patient Care Through Connected Devices, Sensors, and Networks
    B Jothi, S Madhubalan, J Jeyasudha, PP Selvam, P Gomathi, S Prabu
    International Conference on Innovative Discoveries and Emerging Advancements … , 2025
    2025
  • Renewable Energy Generation Prediction using Structure Embedded based Gated Recurrent Unit
    ECVS Mudunuri, K Barathi, S Madhubalan, DRAS Liz, RR Hussein
    2024 First International Conference on Software, Systems and Information … , 2024
    2024
  • Spatial light sources with various optical wavelength window for high speed broadband optical fiber channel system
    PH Sree, PS Chowdary, CR Kumar, M Selvaraju, RT Prabu, ...
    Journal of Optical Communications 45 (s1), s2273-s2283 , 2023
    2023
  • Optimal Energy Management of Disco in Electricity Markets
    S Arun Kumar, S Padma, S Madhubalan
    Solid State Technology (0038-111X) 63 (6), 11648-11659 , 2020
    2020
  • Solar Powered BLDC Motor Drive Using CUK Converter
    M Gopila, S Madhubalan, M Balu
    TEST Engineering & Management (ISSN 0193-4120) 83, 10329 to 10333 , 2020
    2020
  • Power Harvesting System Using THSEAF with P+R Controller to Improve Grid Current Quality
    A Kumar. S, S Madhubalan, S Praveena
    TEST Engineering & Management (ISSN 0193-4120) 83, 10637 - 10641 , 2020
    2020
  • Implification of ANN-FLC Based PI Controller for Dual Interfacing Converters
    M Sujith, S Madhubalan, K Prathibanandhi
    Journal of Green Engineering (ISSN 1904-4720) 10 (10), 9587-9600 , 2020
    2020